Preliminary Guidelines on the Sonification of Visual Artworks: Linking Music, Sonification & Visual Arts

Sonification and data processing algorithms have advanced over the years to reach practical applications in our everyday life. Similarly, image processing techniques have improved over time. While a number of image sonification methods have already been developed, few have delved into potential synergies through the combined use of multiple data and image processing techniques. Additionally, little has been done on the use of image sonification for artworks, as most research has been focused on the transcription of visual data for people with visual impairments. Our goal is to sonify paintings reflecting their art style and genre to improve the experience of both sighted and visually impaired individuals. To this end, we have designed initial sonifications for paintings of abstractionism and realism, and conducted interviews with visual and auditory experts to improve our mappings. We believe the recommendations and design directions we have received will help develop a multidimensional sonification algorithm that can better transcribe visual art into appropriate music.

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Method for Estimating the Manual Nesting Process Efficiency for Profiling Machines, Based upon Image Processing Techniques

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.808.86 ◽

2015 ◽

Vol 808 ◽

pp. 86-91

Author(s):

Radu Eugen Breaz ◽

Octavian Bologa ◽

Sever Gabriel Racz

Keyword(s):

Image Processing ◽

Software Package ◽

Process Efficiency ◽

Matlab Software ◽

Image Processing Techniques ◽

Graphic File ◽

Image Processing Algorithms ◽

Processing Algorithms ◽

Processing Techniques

The paper presents a method for estimating the efficiency of the manual nesting process. By using the graphic file generated during the nesting process and using image processing techniques, the method allows the user to calculate the percentage of material used for manufacturing the parts. The method combines a manual approach - the user has to select some specific points on the graphic file with the mouse, with some image processing algorithms form Matlab software package.

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Comparative analysis of image processing techniques for obstacle avoidance and path deduction

Journal of Physics Conference Series ◽

10.1088/1742-6596/2070/1/012121 ◽

2021 ◽

Vol 2070 (1) ◽

pp. 012121

Author(s):

R Rajavarshini ◽

S Shruthi ◽

P Mahanth ◽

Boddu Chaitanya Kumar ◽

A Suyampulingam

Keyword(s):

Machine Learning ◽

Image Processing ◽

Obstacle Avoidance ◽

Transportation System ◽

Image Processing Algorithm ◽

Image Processing Techniques ◽

Haar Cascade ◽

Image Processing Algorithms ◽

Processing Algorithms ◽

Processing Techniques

Abstract The growing need for automation has a significant impact on our daily lives. Automating the essentials of our society like transportation system has plenty of applications like unmanned ground vehicles in military, wheel chair for disabled, domestic robots, etc., There are driving, braking, obstacle tackling etc., to a transportation system that can be automated. This paper particularly focuses on automating the obstacle avoidance which provides intelligence to the vehicle and ensures a high degree of safety and is performed using image processing algorithms. Edge based detection, image segmentation, and Machine Learning based method are the three image processing techniques used to detect and avoid obstacles. Haar cascade classifier is the machine learning method where Haar cascade analysis is performed for better accurate results with justifying graphs and parametric values obtained. A comparison of the three image processing algorithms is also tabulated considering obstacle size, colour, familiarities and environmental lightings and the best image processing algorithm is inferred.

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Image Processing Techniques Based Crowd Size Estimation

Radioelectronics Nanosystems Information Technologies ◽

10.17725/rensit.2020.12.407 ◽

2020 ◽

Vol 12 (3) ◽

pp. 407-414

Author(s):

Mohanad Abdulhamid ◽

◽

Lwanga Wanjira ◽

Keyword(s):

Image Processing ◽

Theoretical Foundation ◽

Visual Basic ◽

Size Estimation ◽

Image Processing Techniques ◽

Development Tools ◽

Image Processing Algorithms ◽

Processing Algorithms ◽

High Level ◽

Processing Techniques

Image processing algorithms are the basis for image computer analysis and machine Vision. Employing a theoretical foundation, image algebra, and powerful development tools, Visual C++, Visual Fortran, Visual Basic, and Visual Java, high-level and efficient computer vision techniques have been developed. This paper analyzes different image processing algorithms by classifying them in logical groups. In addition, specific methods are presented illustrating the application of such techniques to the real world images. In most cases more than one method is used. This allows a basis for comparison of different methods as advantageous features as well as negative characteristics of each technique is delineated. The main objective of this paper is to use image processing techniques to estimate the size of a crowd from a still photograph. The simulation results show that the different images have different efficiencies.

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An Exploration of the Image Processing Techniques for the Detection of Leukemia

Asian Journal of Engineering and Applied Technology ◽

10.51983/ajeat-2018.7.2.999 ◽

2018 ◽

Vol 7 (2) ◽

pp. 96-99

Author(s):

A. Premnath ◽

V. S. Meenakshi

Keyword(s):

Image Processing ◽

Bone Marrow ◽

Blood Cell ◽

Diagnostic Method ◽

Cell Classification ◽

Image Processing Techniques ◽

Image Processing Algorithms ◽

Processing Algorithms ◽

Processing Techniques

In the pathological diagnostic method, categorization of blood cell has more essential to detect and analyze the disease. The complications that are connected with blood can be distributed only after the blood cell classification. The illness that begins with the bone marrow is the Leukemia. Therefore, it must be handled at the beginning step and proceeds to death if continuing untreated. This present research elucidates an investigation of diagnosing leukemia from microscopic blood image exhausting various image processing algorithms.

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Development of a Hybrid Technique Utilising Image Processing and Fuzzy Logic for Dynamically Detecting a Movable Colour Object

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.389.734 ◽

2013 ◽

Vol 389 ◽

pp. 734-739

Author(s):

Ayman Abbas ◽

Khaled El-Geneidy

Keyword(s):

Image Processing ◽

Hybrid System ◽

Mobile Object ◽

Hybrid Technique ◽

Autonomous Mobile Robot ◽

Complex Environment ◽

Image Processing Techniques ◽

Image Processing Algorithms ◽

Processing Algorithms ◽

Processing Techniques

The drive behind this research is to devise an autonomous method for dynamically detecting a movable coloured object within ambiguous environments. Based on a study of different methods of automation using image processing techniques, those with the highest potential of operating effectively and efficiently in a complex environment of varying light intensity were identified. A hybrid system has been developed which utilises the selected image processing algorithms and fuzzified readings from distance sensors, to extract an identifiable colour area in the acquired image frames. Subsequently the identified colour is used to recognise the blob area within the frame containing the moving object to be tracked. Based on the location and area of this blob, the hybrid system will dynamically identify the exact location of the target mobile object. This system mounted on an autonomous mobile robot constantly monitors the detected object.

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Three-Dimensional Structure of Rotavirus-Fab Complex

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100179944 ◽

1990 ◽

Vol 48 (1) ◽

pp. 238-239

Author(s):

B.V.V. Prasad ◽

E. Marietta ◽

J.W. Burns ◽

M.K. Estes ◽

W. Chiu

Keyword(s):

Image Processing ◽

Smooth Surface ◽

Three Dimensional ◽

Outer Shell ◽

Dimensional Structure ◽

Structural Studies ◽

Cell Penetration ◽

Electron Cryomicroscopy ◽

Image Processing Techniques ◽

Processing Techniques

Rotaviruses are spherical, double-shelled particles. They have been identified as a major cause of infantile gastroenteritis worldwide. In our earlier studies we determined the three-dimensional structures of double-and single-shelled simian rotavirus embedded in vitreous ice using electron cryomicroscopy and image processing techniques to a resolution of 40Å. A distinctive feature of the rotavirus structure is the presence of 132 large channels spanning across both the shells at all 5- and 6-coordinated positions of a T=13ℓ icosahedral lattice. The outer shell has 60 spikes emanating from its relatively smooth surface. The inner shell, in contrast, exhibits a bristly surface made of 260 morphological units at all local and strict 3-fold axes (Fig.l).The outer shell of rotavirus is made up of two proteins, VP4 and VP7. VP7, a glycoprotein and a neutralization antigen, is the major component. VP4 has been implicated in several important functions such as cell penetration, hemagglutination, neutralization and virulence. From our earlier studies we had proposed that the spikes correspond to VP4 and the rest of the surface is composed of VP7. Our recent structural studies, using the same techniques, with monoclonal antibodies specific to VP4 have established that surface spikes are made up of VP4.

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A Survey on Detection and Classification of Brain Tumor Using Image Processing Techniques

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit2063211 ◽

2020 ◽

pp. 967-973

Author(s):

V. Deepika ◽

T. Rajasenbagam

Keyword(s):

Image Processing ◽

Brain Tumor ◽

Soft Tissues ◽

Tumor Detection ◽

Tumor Classification ◽

Normal Brain ◽

Image Processing Techniques ◽

Normal Brain Function ◽

Processing Techniques ◽

The Brain

A brain tumor is an uncontrolled growth of abnormal brain tissue that can interfere with normal brain function. Although various methods have been developed for brain tumor classification, tumor detection and multiclass classification remain challenging due to the complex characteristics of the brain tumor. Brain tumor detection and classification are one of the most challenging and time-consuming tasks in the processing of medical images. MRI (Magnetic Resonance Imaging) is a visual imaging technique, which provides a information about the soft tissues of the human body, which helps identify the brain tumor. Proper diagnosis can prevent a patient's health to some extent. This paper presents a review of various detection and classification methods for brain tumor classification using image processing techniques.

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